# Select your Flavor

### When to choose GPU or CPU flavors? 

According to your needs, you can choose from two options: CPU and GPU Flavors. 

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GPU Flavor is ideal for **inference of complex deep learning models**, image processing, or multimedia content generation.
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{% tab title="When to choose GPU flavor?" %}
CPU Flavor is more **dedicated to light tasks** as simple text processing algorithms or structured data processing, that do not require a very low latency time.
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### Which GPU Flavors are available for AI Inference? 

<table data-card-size="large" data-view="cards" data-full-width="false"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>NVIDIA L40S</strong></td><td>GPU specialized for inference tasks able to accelerate multiple workloads.</td><td></td><td><a href="https://3376774032-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FoExYATuECEyEKGJ4cD8X%2Fuploads%2FUI06emoBjEp4wyJD8myE%2Fnvidia-l40s-og-1200x630.jpg?alt=media&#x26;token=020fb7b2-5045-4b8e-bd5a-ef84a59f9a89">nvidia-l40s-og-1200x630.jpg</a></td></tr><tr><td><strong>NVIDIA H100 TensorCore</strong></td><td>Up to 30 times acceleration of LLM processing. Ideal for complete models with up to 30 billion parameters.</td><td></td><td><a href="https://3376774032-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FoExYATuECEyEKGJ4cD8X%2Fuploads%2FI9a4Pcwj7KkHfoxuFQcb%2Fnvidia%20H100.jpg?alt=media&#x26;token=d2fbd7ce-1b6c-4421-adbd-48dbdb688da5">nvidia H100.jpg</a></td></tr><tr><td><strong>NVIDIA A100 TensorCore</strong></td><td>A100 provide up to 20X higher performance over the NVIDIA Volta with zero code changes and an additional 2X boost with automatic mixed precision and FP16</td><td></td><td><a href="https://3376774032-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FoExYATuECEyEKGJ4cD8X%2Fuploads%2FPbULSvOMrOMVbbV3nOc8%2Fnvidiaa100.jpg?alt=media&#x26;token=4e4abb4b-bd78-435c-9ea6-40b1d41eb9c0">nvidiaa100.jpg</a></td></tr></tbody></table>